Question

Write merits and demerits of pearson correlation

Answer 1

Answer:

Explanation:

Merits

The following are the chief points of merit that go in favour of the Karl Pearson’s method of correlation:

• This method not only indicates the presence, or absence of correlation between any two variables but also, determines the exact extent, or degree to which they are correlated.
• Under this method, we can also ascertain the direction of the correlation i.e. whether the correlation between the two variables is positive, or negative.
• This method enables us in estimating the value of a dependent variable with reference to a particular value of an independent variable through regression equations.
• This method has a lot of algebraic properties for which the calculation of co-efficient of correlation, and a host of other related factors viz. co-efficient of determination, are made easy.
• Demerits

Despite the above points of merits, this method also suffers from the following demerits:

• It is comparatively difficult to calculate as its computation involves intricate algebraic methods of calculations.
• It is very much affected by the values of the extreme items.
• It is based on a large number of assumptions viz. linear relationship, cause and effect relationship etc. which may not always hold good.
• It is very much likely to be misinterpreted particularly in case of homogeneous data.
• In comparison to the other methods, it takes much time to arrive at the results.
• It is subject to probable error which its propounder himself admits, and therefore, it is always advisable to compute it probable error while interpreting its results.

Answer 2

Answer:

Correlation

It is the statistical analysis which measures and analysis which measures and analysis the degree or extent to which variables fluctuate with reference to each other.

Let me tell you all in very simple

MERITS:

1. It is a simple and attractive method.

2. It is a non mathematical method.

3. It is easy to understand.

4. It is not influenced by extreme items.

5. It first step is finding out the relationship between variables.

DEMERITS:

1. It can't get exact degree of correlation.

2. It gives only a rough idea.